Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- Cranfield University
- ; The University of Manchester
- University of Cambridge
- ; Swansea University
- ; University of Birmingham
- University of Sheffield
- ; University of Nottingham
- ; University of Southampton
- ; University of Warwick
- ; University of Exeter
- ; Newcastle University
- ; The University of Edinburgh
- University of Manchester
- ; Cranfield University
- ; University of Bristol
- ; University of Surrey
- Harper Adams University
- University of Oxford
- UNIVERSITY OF VIENNA
- University of Newcastle
- ; City St George’s, University of London
- ; Brunel University London
- ; Loughborough University
- ; University of Cambridge
- ; University of Oxford
- ; University of Sheffield
- Imperial College London
- University of Liverpool
- ; Edge Hill University
- ; University of Reading
- ; University of Strathclyde
- AALTO UNIVERSITY
- Heriot Watt University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; Lancaster University
- ; Manchester Metropolitan University
- ; University of Bradford
- ; University of East Anglia
- ; University of Greenwich
- ; University of Leeds
- Abertay University
- Brunel University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; The Open University
- ; UCL
- ; University of Hertfordshire
- ; University of Hull
- ; University of Kent
- ; University of Plymouth
- ; University of Stirling
- ; University of Sussex
- Aston University
- Durham University
- KINGS COLLEGE LONDON
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SOUTHAMPTON
- University of Glasgow
- 56 more »
- « less
-
Field
-
nonlinear effects. These nonlinear effects will be generalised via correction terms discovered by machine learning from a large numerical simulated dataset. This dataset also allows for extending the theory
-
facilities, including advanced microscopy, controlled environment growth rooms, genomics, proteomics, and metabolomics platforms. • Opportunities to work across model and crop species, including Arabidopsis
-
.), including full fees and bursary. Main Copy (advised structure) Green hydrogen has been presented as an important aspect of the renewable energy future not only to decarbonise many industries including steel
-
perpetuation (or maintenance/persistence); to build ML models that include the heart’s physical properties to find patterns in the data and predict which areas in the heart drive AF. This project will explore
-
considering a PhD or Clinical Doctorate, and many of our previous RAs have gone on to undertake these roles. The post holders will be based at Nottingham University and hold Honorary contracts with
-
powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
-
. The enhanced image quality will support earlier and more reliable detection of eye diseases. Combining artificial intelligence with mathematical modelling, this non-invasive, cost-effective approach has
-
will lead the development of novel motor topologies optimised for this cutting-edge material. Supported by experienced supervisors, the student will be able to design, model, and validate working
-
performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling
-
strategies for robust statistical models. The project’s scope will be tailored to the candidate’s expertise, offering opportunities for innovation and impact. The successful applicant will join a dynamic